Abstract
AFR is still an area of research interests in solid modeling work and is an important requirement for integrating CAD and CAM systems. Developing methodologies for machined features recognition have been considered as a significant topic of research in the CAD/CAM area, and a lot of researches in the automatic feature recognition area have been done in current years for solving the problem of algorithm complexity. In the automatic feature recognition area, a cross-hole recognition is still a complicated process. So, the current paper presents a new simple methodology for efficiently recognizing the inclined cross-hole feature in hollow cylinders from the STEP AP-203 file as a CAD model. The system has been built by linking SolidWorks software which is a very common CAD software to Visual Basic Programming language. For validating the proposed methodology, a given example is demonstrated.
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Ibrahim, A.D., Abdelwahab, S.A., Hussein, H.M.A., Ahmed, I. (2021). Automatic Feature Recognition (AFR) of the Inclined Cross-Hole in Hollow Cylinders. In: Kumar, S., Rajurkar, K.P. (eds) Advances in Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-4466-2_3
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DOI: https://doi.org/10.1007/978-981-33-4466-2_3
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